Kohortanalyser

Kohortanalyser is a software tool used to perform cohort analysis, enabling the examination of how defined groups behave over time. The approach groups entities by a shared starting point and then tracks their subsequent activity to reveal time-based patterns.

Cohorts are formed around a common attribute and a start date, such as users who signed up during a particular week or customers who made their first purchase in a campaign. The tool ingests event data with timestamps and identifiers, and then aggregates metrics by cohort for successive time intervals such as days, weeks, or months.

Common metrics include retention rate, churn, engagement, conversion, and revenue per user. Visualizations often include cohort grids, heatmaps, and line charts that show how metrics evolve over time, helping to compare cohorts and identify trends or anomalies.

Typical workflows involve data import, cohort construction, metric calculation, and visualization, followed by reporting or export. Kohortanalyser tools often support multiple data sources, such as databases or data lakes, and provide interfaces for SQL queries or API integrations to enable flexible analysis.

Applications of kohortanalyser span product analytics, marketing effectiveness, and epidemiology. In product and growth contexts, they help assess retention, feature impact, and long-term value by cohort. In health research, they can track outcomes within groups defined by treatment start dates. Limitations include reliance on data quality, sensitivity to baseline definitions, and the potential for misinterpretation when comparing dissimilar cohorts. Privacy and data protection considerations are important when handling individual-level event data.